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Region based Image Similarity using Fuzzy based SIFT Matching
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 67 - Number 3 |
| Year of Publication: 2013 |
| Authors: Shashikanth C C, Parag Kulkarni |
10.5120/11379-6655
|
Shashikanth C C, Parag Kulkarni . Region based Image Similarity using Fuzzy based SIFT Matching. International Journal of Computer Applications. 67, 3 ( April 2013), 47-50. DOI=10.5120/11379-6655
Abstract
This paper proposes a region based approach using Scale In-variant Feature Transform (SIFT) and fuzzy logic for computing region based image similarity. When SIFT algorithm is used for matching im¬ages, a meaningful or semantic match according to human perception is not obtained. Hence to refine its output, a region based approach has been proposed. When a test image is compared with reference image, SIFT descriptors are computed and the images are segmented into regions and labeled. SIFT similarity measure along with the region information is given as input to fuzzy logic to determine region based similarity mea¬sure. Experiments are done using real world optical images, Caltech image datasets and a few satellite images. The proposed approach is found to be efficient for opti-cal images, Caltech image datasets and have good performance for satellite images.
References
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